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Senior Software Engineer (Scala)

175 000 - 195 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Software Engineer (Scala) (Apache Spark/Financial Crime Risk Intelligence): Building and optimizing batch data infrastructure, microservices, and machine learning services that generate risk signals from sanctions, PEP, negative news, court, and arrest records with an accent on distributed systems, performance, and maintainable code. Focus on designing scalable algorithms, deploying Kubernetes services, building ETL pipelines, and processing terabytes of data for financial crime detection.

Location: Washington, D.C.; hybrid work with regular in-person touchpoints and shared office space. Candidates must be legally authorized to work in the United States without employer sponsorship, now or in the future.

Base salary: $175,000–$195,000 annually, plus potential equity, bonuses, commission, and benefits.

Company

hirify.global provides an AI-driven SaaS risk intelligence platform that helps financial institutions and government agencies identify money laundering, fraud, criminal networks, and national security risks.

What you will do

  • Build and operate Apache Spark batch infrastructure that processes terabytes of data daily.
  • Develop data services and machine learning infrastructure for risk signal generation.
  • Design performant, maintainable microservices and REST APIs for query engines and web crawlers.
  • Build and deploy microservices in Kubernetes and create ETL pipelines for data streams.
  • Improve software architecture, performance, testing, and reliability across the distributed data platform.
  • Collaborate with Data Scientists, DevOps Engineers, Front-end Engineers, Product Managers, Sales, and Technology teams in a client-facing environment.

Requirements

  • BS or MS in Computer Science.
  • 5+ years of professional software engineering experience focused on platform engineering.
  • Professional experience with Scala and/or Java and software running on the JVM.
  • Strong understanding of concurrency, distributed systems, algorithm complexity, scalable algorithms, and performance.
  • Experience with Apache Spark, HDFS, Iceberg, Airflow, MapReduce, storage and caching solutions, unit testing, and automated integration testing.
  • Experience building microservices, Kubernetes deployments, ETL pipelines, and familiarity with machine learning techniques.

Nice to have

  • Professional experience at a software startup.
  • Experience with Memcached, Redis, Postgres, or comparable storage and caching technologies.

Culture & Benefits

  • Flexible hybrid work environment with a family-friendly work-life balance.
  • Company equity and an exceptional benefits package.
  • Flexible vacation and paid time off.
  • Employer-matched 401(k) plan.
  • Collaborative environment supporting learning and professional growth.

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